DNA Methylation Patterns Can Estimate Nonequivalent Outcomes of Breast Cancer with the Same Receptor Subtypes.
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Identification of Biomarkers for Breast Cancer Using Databases.pETM: a penalized Exponential Tilt Model for analysis of correlated high-dimensional DNA methylation data.Genetic Mutations and Epigenetic Modifications: Driving Cancer and Informing Precision Medicine.Pan-cancer analysis of frequent DNA co-methylation patterns reveals consistent epigenetic landscape changes in multiple cancers.
P2860
DNA Methylation Patterns Can Estimate Nonequivalent Outcomes of Breast Cancer with the Same Receptor Subtypes.
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2015 nî lūn-bûn
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2015年の論文
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name
DNA Methylation Patterns Can E ...... th the Same Receptor Subtypes.
@ast
DNA Methylation Patterns Can E ...... th the Same Receptor Subtypes.
@en
type
label
DNA Methylation Patterns Can E ...... th the Same Receptor Subtypes.
@ast
DNA Methylation Patterns Can E ...... th the Same Receptor Subtypes.
@en
prefLabel
DNA Methylation Patterns Can E ...... th the Same Receptor Subtypes.
@ast
DNA Methylation Patterns Can E ...... th the Same Receptor Subtypes.
@en
P2093
P2860
P1433
P1476
DNA Methylation Patterns Can E ...... th the Same Receptor Subtypes.
@en
P2093
Dongwei Zhang
Hongbo Liu
Jianzhong Su
Shaojun Zhang
Yanhua Wen
Yanjun Wei
Yihan Wang
P2860
P304
P356
10.1371/JOURNAL.PONE.0142279
P407
P577
2015-11-09T00:00:00Z